train_y_mean = [-8.7809e+01,  1.9674e-02,  7.7192e-03,  1.3726e-02,  2.4590e-02,
                9.0251e-03,  1.5247e-02,  1.9412e-02,  4.4391e-01, -1.5085e-02,
                -5.7332e-03, -7.7743e-03, -1.7844e-03, -2.0205e-03, -1.0428e-03,
                -6.4501e-04, -3.3107e-02, -6.9484e-03, -4.7074e-03, -3.4705e-03,
                3.0009e-04, -1.0772e-03,  4.7069e-05, -9.1633e-04,  2.7888e-02,
                -7.1486e-03, -4.4591e-03, -3.5230e-03, -6.5594e-04, -8.0065e-05,
                -6.8473e-05,  4.8682e-04,  2.1231e-02,  1.7365e-02,  1.6837e-02,
                1.7894e-02,  8.6935e-04,  1.8424e-02,  1.7977e-02,  1.8037e-02,
                5.6029e-03, -3.9468e-03, -1.6422e-03, -8.6570e-04, -6.2848e-04,
                -1.5132e-05,  2.8388e-04,  5.8060e-04, -6.1547e-03, -1.1489e-03,
                -5.3556e-04,  1.1629e-05, -1.5606e-04, -2.7176e-04,  1.0421e-04,
                -2.5596e-04, -6.6531e-04, -1.5382e-04, -4.8749e-04, -4.9705e-05,
                9.8146e-05,  1.3370e-03,  5.0950e-04,  2.5236e-03]
train_y_std = [416.3004,  77.5867,  42.2380,  28.5756,  21.8053,  17.2086,  13.5381,
               10.5011,  83.2183,  40.2326,  27.9065,  20.7841,  16.6141,  13.5950,
               10.7936,   8.4428,  45.6969,  28.6514,  22.2265,  17.7536,  14.7323,
               12.1683,   9.7763,   7.6634,  30.9808,  21.6857,  18.0828,  15.2793,
               13.1014,  11.0329,   8.9536,   7.1173,  23.6173,  17.4921,  15.1796,
               13.2744,  11.6284,   9.8899,   8.0867,   6.5275,  18.6488,  14.3073,
               12.6715,  11.2899,  10.0260,   8.6460,   7.1767,   5.8737,  14.6712,
               11.4826,  10.2610,   9.2404,   8.2478,   7.2299,   6.1343,   5.0679,
               11.3700,   8.9233,   8.0776,   7.3026,   6.6406,   5.9567,   5.1072,
               4.2756]

train_cb_mean = [-5.8405e+01, -2.4241e-01,  2.5691e-02, -2.5330e-01,  4.4204e-03,
                 -4.4288e-01,  8.9530e-03, -1.2490e+00,  2.7473e-01, -1.9259e-03,
                 -1.0320e-03, -2.1404e-03, -6.8493e-04,  1.1513e-03, -8.8826e-05,
                 5.0866e-04,  9.4816e-03, -1.7882e-03, -1.4747e-04, -1.7423e-03,
                 -1.3940e-05, -1.9817e-03,  1.2663e-04, -4.6011e-03,  2.4007e-02,
                 -3.2259e-03, -5.2191e-04, -3.1080e-03, -1.0335e-03,  1.0373e-03,
                 -2.9794e-05, -2.0685e-03,  1.6563e-03, -4.1076e-03,  1.0579e-04,
                 -5.8856e-03,  4.1426e-05, -3.4214e-03,  3.4132e-04, -1.7650e-02,
                 9.7760e-03,  4.5252e-04, -1.6685e-04,  8.7463e-04,  2.7000e-04,
                 -3.7072e-04,  4.6495e-05,  5.7383e-04,  1.6534e-03, -3.2229e-04,
                 2.4910e-04, -1.7490e-04,  4.1547e-04, -1.8155e-04,  2.3361e-04,
                 -5.1665e-04,  2.7620e-03, -1.2637e-03, -9.9744e-05, -1.4684e-03,
                 -2.7758e-04,  6.0088e-04,  2.3177e-05, -8.7675e-04]
train_cb_std = [79.1214, 18.3745,  9.9368,  6.3850,  4.3814,  3.3264,  2.6701,  2.3964,
                20.0824,  9.8584,  6.6469,  4.5420,  3.2959,  2.5912,  2.1413,  1.8966,
                11.0568,  6.9179,  5.0821,  3.6741,  2.8277,  2.2928,  1.8843,  1.7279,
                7.2541,  4.8947,  3.8085,  3.0225,  2.4321,  2.0313,  1.7118,  1.5867,
                5.1666,  3.7091,  3.0712,  2.5563,  2.1193,  1.8342,  1.5578,  1.4956,
                3.9912,  2.9805,  2.5435,  2.1887,  1.8651,  1.6591,  1.4515,  1.3953,
                3.2592,  2.5216,  2.1628,  1.9126,  1.6432,  1.5260,  1.3399,  1.3157,
                2.7638,  2.1704,  1.9033,  1.7164,  1.5229,  1.4113,  1.2642,  1.2410]

train_cr_mean = [ 3.1957e+01, -2.3557e-01,  4.0622e-03, -2.4316e-01, -1.0439e-03,
                  -4.2992e-01,  8.7627e-03, -1.2114e+00, -2.6299e-01, -2.4258e-03,
                  -6.1313e-04, -1.4853e-03, -6.4579e-04,  1.1429e-03, -1.5130e-05,
                  4.3567e-04, -4.3251e-03, -1.3203e-03, -4.1816e-04, -1.4996e-03,
                  6.6141e-06, -2.0971e-03, -1.2891e-04, -4.5858e-03, -2.7388e-02,
                  -2.5201e-03, -3.6305e-04, -3.4654e-03, -7.9842e-04,  1.0786e-03,
                  -1.7277e-05, -2.0375e-03, -1.6997e-03, -4.5083e-03,  4.8139e-04,
                  -6.2348e-03, -4.5692e-04, -3.9938e-03,  1.5944e-04, -1.9323e-02,
                  -5.4881e-03,  3.8766e-04, -1.7274e-05,  7.2504e-04,  2.4444e-04,
                  -3.0467e-04, -4.4573e-05,  4.2376e-04,  6.2686e-04, -3.4751e-04,
                  -2.6326e-04, -1.8855e-04, -8.4055e-05, -2.9975e-04, -4.4444e-05,
                  -5.3726e-04, -3.5309e-03, -1.0570e-03, -1.6817e-04, -1.4554e-03,
                  -2.8168e-04,  5.1781e-04,  9.8253e-05, -7.5032e-04]
train_cr_std = [74.2026, 17.4868,  9.3196,  5.9021,  4.0106,  3.0262,  2.4136,  2.1790,
                18.8979,  9.2143,  6.1437,  4.1483,  2.9875,  2.3369,  1.9226,  1.7053,
                10.2691,  6.3802,  4.6377,  3.3304,  2.5436,  2.0562,  1.6788,  1.5479,
                6.6499,  4.4562,  3.4456,  2.7172,  2.1732,  1.8109,  1.5175,  1.4133,
                4.7010,  3.3576,  2.7615,  2.2882,  1.8850,  1.6314,  1.3727,  1.3305,
                3.6111,  2.6834,  2.2768,  1.9517,  1.6538,  1.4716,  1.2789,  1.2387,
                2.9336,  2.2640,  1.9297,  1.7013,  1.4479,  1.3522,  1.1781,  1.1679,
                2.4845,  1.9433,  1.6946,  1.5250,  1.3463,  1.2509,  1.1138,  1.1017]

train_y_mean_upscaled = [-8.9257e+01,  1.5176e-02,  1.0982e-02,  1.4185e-02, -2.3785e-02,
                         1.4937e-02,  1.4884e-02,  1.3307e-02,  1.0645e-01,  1.3762e-04,
                         -5.5354e-05, -9.7125e-05, -1.2625e-04, -2.9078e-05,  1.1180e-06,
                         3.4968e-06, -3.2910e-04,  2.6687e-06,  5.2615e-05, -1.4948e-04,
                         1.3740e-03, -9.7962e-05,  2.9196e-05, -5.7017e-05,  1.5433e-02,
                         -1.0312e-04, -2.6513e-05,  4.6692e-05, -1.8254e-04,  3.7632e-05,
                         1.9949e-05,  1.4626e-05, -1.2376e-02,  1.4533e-02,  1.3228e-02,
                         1.5430e-02,  8.9144e-03,  1.4233e-02,  1.3729e-02,  1.3435e-02,
                         3.8310e-03, -2.2960e-05,  2.8340e-05,  3.9252e-05,  1.8841e-04,
                         4.9529e-06, -1.4067e-06, -2.3931e-06,  4.6604e-04,  9.8162e-06,
                         -5.8984e-04, -3.2297e-06, -1.1517e-04,  3.0263e-05,  1.1393e-04,
                         2.8791e-06,  1.3659e-03,  6.4766e-06,  3.3548e-06,  9.8829e-06,
                         6.1300e-05, -5.8134e-06,  6.6252e-07,  1.8816e-06]

train_y_std_upscaled = [4.4132e+02, 4.9202e+01, 1.2238e+01, 8.5883e+00, 5.5246e+00, 2.6278e+00,
                        9.9688e-01, 5.9024e-01, 5.1909e+01, 2.0384e+01, 5.8382e+00, 4.3985e+00,
                        2.6714e+00, 1.4094e+00, 5.9613e-01, 4.2932e-01, 1.2961e+01, 5.8874e+00,
                        1.7946e+00, 1.4119e+00, 9.0910e-01, 5.9393e-01, 3.9945e-01, 3.7906e-01,
                        9.1203e+00, 4.4927e+00, 1.4328e+00, 1.1957e+00, 7.7174e-01, 5.4588e-01,
                        3.8390e-01, 3.7379e-01, 5.8485e+00, 2.6964e+00, 9.2534e-01, 7.6844e-01,
                        5.8618e-01, 4.6281e-01, 3.8991e-01, 3.8854e-01, 2.7888e+00, 1.4368e+00,
                        6.0373e-01, 5.4585e-01, 4.5655e-01, 4.0607e-01, 3.6034e-01, 3.8307e-01,
                        1.0481e+00, 6.0439e-01, 4.0750e-01, 3.8884e-01, 3.7925e-01, 3.6678e-01,
                        3.5029e-01, 3.6030e-01, 6.2216e-01, 4.3387e-01, 3.7953e-01, 3.6802e-01,
                        3.7294e-01, 3.6726e-01, 3.4506e-01, 3.9288e-01]

train_cb_mean_upscaled = [-5.8799e+01, -1.3430e-01,  2.7424e-02, -1.3315e-01, -3.4808e-03,
                          -2.4841e-01,  1.1798e-02, -6.7057e-01,  6.7737e-02, -8.4272e-04,
                          5.6403e-06,  3.1237e-04,  3.8731e-07,  2.3485e-04,  3.5817e-06,
                          2.7619e-04,  1.4913e-02, -5.1187e-04,  6.7482e-03, -1.1267e-03,
                          1.3698e-04, -3.3557e-03, -4.4582e-04, -1.3279e-02,  6.9788e-03,
                          1.9265e-04,  1.6729e-05, -8.3411e-05,  1.5256e-05, -4.6814e-05,
                          7.5161e-06,  7.0190e-06, -3.0878e-03,  1.2272e-02,  1.1488e-02,
                          1.0835e-02,  1.3712e-04,  8.1375e-03,  1.0772e-02,  6.9757e-04,
                          2.9390e-03,  1.6901e-04,  1.2274e-05, -6.7870e-05,  2.3774e-05,
                          -3.0880e-05, -1.0801e-07, -5.2715e-07, -1.6739e-03, -3.7238e-05,
                          -4.3840e-04, -1.7071e-04,  8.7243e-05, -5.5912e-04, -8.4765e-06,
                          -2.8727e-03, -1.1472e-04,  8.4168e-05,  3.9514e-05, -5.9204e-06,
                          3.2890e-05,  7.7972e-06,  1.5160e-06,  7.0125e-05]

train_cb_std_upscaled = [87.0490, 12.5228,  5.4265,  2.6138,  0.9957,  0.9399,  0.6968,  0.6077,
                         13.3830,  5.8018,  3.2624,  1.7275,  0.6813,  0.6953,  0.5431,  0.4518,
                         5.9639,  3.4100,  2.2023,  1.2727,  0.5323,  0.5745,  0.4655,  0.4154,
                         2.9479,  1.8668,  1.3117,  0.8385,  0.4231,  0.4552,  0.3905,  0.3828,
                         1.0645,  0.6926,  0.5270,  0.4193,  0.3362,  0.3492,  0.3316,  0.3609,
                         1.0242,  0.7346,  0.5792,  0.4537,  0.3406,  0.3574,  0.3338,  0.3546,
                         0.7420,  0.5597,  0.4602,  0.3869,  0.3200,  0.3360,  0.3212,  0.3440,
                         0.4954,  0.4007,  0.3576,  0.3370,  0.3161,  0.3212,  0.3099,  0.3418]

train_cr_mean_upscaled = [ 3.2221e+01, -1.2523e-01,  2.2457e-02, -1.2535e-01, -1.9801e-03,
                           -2.3420e-01,  1.2003e-02, -6.2795e-01, -6.4719e-02, -8.0417e-04,
                           -3.6593e-05,  2.7139e-04,  6.3214e-06,  2.0193e-04,  8.4829e-06,
                           2.0763e-04,  1.0539e-02, -7.6569e-04,  6.1833e-03, -1.2052e-03,
                           7.9265e-05, -3.7715e-03, -4.4299e-04, -1.4014e-02, -6.0718e-03,
                           1.8024e-04,  3.8814e-06, -8.2591e-05, -6.6074e-06, -3.3364e-05,
                           5.1744e-06,  2.4730e-05, -1.5572e-03,  1.1796e-02,  1.1033e-02,
                           1.0235e-02,  5.6535e-05,  7.7992e-03,  1.0343e-02, -8.6901e-05,
                           -2.0821e-03,  1.5335e-04, -1.1278e-05, -5.5840e-05,  7.1228e-07,
                           -2.4517e-05, -3.4027e-06,  1.6155e-05, -1.0586e-03, -1.3970e-04,
                           -4.4999e-04, -2.2609e-04,  3.7011e-05, -5.9501e-04, -3.9688e-07,
                           -3.0181e-03,  9.1667e-05,  6.7582e-05, -2.3519e-05, -1.4473e-05,
                           -4.6427e-05, -5.7678e-06, -6.7517e-06,  1.4233e-05]

train_cr_std_upscaled = [81.6586, 11.5242,  4.8731,  2.3444,  0.9220,  0.8680,  0.6454,  0.5871,
                         12.2548,  5.1829,  2.8768,  1.5291,  0.6334,  0.6412,  0.5050,  0.4332,
                         5.3476,  3.0126,  1.9379,  1.1304,  0.4999,  0.5342,  0.4377,  0.4008,
                         2.6470,  1.6578,  1.1653,  0.7569,  0.4043,  0.4306,  0.3728,  0.3716,
                         0.9811,  0.6424,  0.4938,  0.4004,  0.3300,  0.3383,  0.3203,  0.3505,
                         0.9430,  0.6766,  0.5370,  0.4292,  0.3310,  0.3467,  0.3238,  0.3456,
                         0.6857,  0.5208,  0.4327,  0.3704,  0.3108,  0.3266,  0.3114,  0.3342,
                         0.4744,  0.3845,  0.3452,  0.3279,  0.3086,  0.3133,  0.3011,  0.3302]
train_y_mean_resized = [-9.5692e+01, -7.0608e-04,  2.8486e-11, -4.7990e-05, -1.2550e-11,
                        -1.5847e-05,  2.0828e-12, -4.0600e-06,  1.9432e-01,  1.1942e-04,
                        2.3106e-11, -1.5645e-05,  1.3991e-12, -2.6038e-06, -1.1671e-13,
                        -5.7368e-07,  2.5099e-11, -2.4789e-11, -6.9446e-12, -2.3916e-12,
                        -6.3411e-13,  1.5021e-12, -2.5377e-14, -2.0520e-13,  1.5139e-02,
                        -1.8555e-05,  1.5475e-12, -2.1635e-06, -3.7361e-14, -7.4818e-07,
                        1.2088e-13, -1.9290e-07, -1.7305e-12,  9.4425e-13, -3.1221e-12,
                        8.1910e-13,  1.5304e-14,  6.1439e-14, -2.8579e-14,  3.2818e-14,
                        4.6060e-03, -4.1632e-06, -5.0335e-13, -5.1024e-07, -6.2952e-15,
                        -1.7255e-07, -2.7869e-14, -4.4358e-08, -3.5269e-12,  1.2718e-12,
                        -3.4118e-13,  1.3636e-14,  1.3673e-13, -2.2578e-14, -2.3361e-15,
                        3.1287e-15,  1.1658e-03, -9.9388e-07, -2.6402e-13, -1.2309e-07,
                        5.6248e-14, -4.1440e-08,  1.2260e-14, -1.0647e-08]
train_y_std_resized = [5.0909e+02, 5.8445e+01, 2.0656e+01, 6.0259e+00, 2.8474e+00, 1.5331e+00,
                       8.6401e-01, 3.7611e-01, 6.0383e+01, 2.8160e+01, 1.2174e+01, 3.4174e+00,
                       1.5388e+00, 8.2922e-01, 4.6262e-01, 2.0138e-01, 2.1246e+01, 1.2209e+01,
                       5.5745e+00, 1.5712e+00, 6.8351e-01, 3.7722e-01, 2.0485e-01, 9.1393e-02,
                       6.1881e+00, 3.4198e+00, 1.5684e+00, 4.4352e-01, 1.9139e-01, 1.0640e-01,
                       5.7338e-02, 2.5775e-02, 2.9398e+00, 1.5433e+00, 6.8337e-01, 1.9174e-01,
                       8.5371e-02, 4.6302e-02, 2.5634e-02, 1.1233e-02, 1.5764e+00, 8.2938e-01,
                       3.7639e-01, 1.0636e-01, 4.6193e-02, 2.5566e-02, 1.3848e-02, 6.1960e-03,
                       8.9223e-01, 4.6393e-01, 2.0479e-01, 5.7438e-02, 2.5630e-02, 1.3879e-02,
                       7.6973e-03, 3.3674e-03, 3.8683e-01, 2.0139e-01, 9.1181e-02, 2.5763e-02,
                       1.1205e-02, 6.1954e-03, 3.3593e-03, 1.5016e-03]
train_cb_mean_resized = [-6.1146e+01, -5.7367e-04,  8.9976e-13, -5.2976e-05, -2.5187e-12,
                         -1.5711e-05,  9.4712e-13, -3.9598e-06,  3.6555e-02,  5.0463e-07,
                         4.3060e-14,  3.1311e-07,  1.1240e-13,  9.5446e-08,  5.8674e-14,
                         2.4198e-08, -1.1790e-12, -3.1456e-12,  3.6802e-13,  3.2592e-15,
                         1.0267e-13,  2.1339e-15, -1.2445e-14, -3.5977e-15,  3.6930e-03,
                         -1.1014e-07, -5.7223e-14,  1.5830e-08, -1.1728e-14,  4.9411e-09,
                         -5.8491e-15,  1.2588e-09,  1.1521e-12, -4.1910e-13, -1.0208e-13,
                         -9.2038e-15,  5.7010e-16, -1.2283e-14,  5.0249e-15, -8.2785e-16,
                         1.0993e-03, -3.5349e-08,  8.3405e-15,  4.4563e-09, -2.4634e-15,
                         1.3947e-09, -3.1675e-17,  3.5552e-10,  1.8306e-13,  1.1121e-13,
                         2.6252e-14,  2.9604e-15,  2.5424e-15, -9.9561e-16, -2.4253e-15,
                         -7.3998e-16,  2.7729e-04, -9.0595e-09,  1.5677e-15,  1.1098e-09,
                         7.9143e-16,  3.4757e-10, -8.1854e-17,  8.8609e-11]
train_cb_std_resized = [1.2855e+02, 8.8541e+00, 1.8916e+00, 7.0911e-01, 3.8367e-01, 2.0911e-01,
                        1.1976e-01, 5.2639e-02, 9.2208e+00, 2.3772e+00, 5.8751e-01, 1.6975e-01,
                        1.1791e-01, 4.9827e-02, 3.6743e-02, 1.2530e-02, 1.9798e+00, 5.9323e-01,
                        1.5111e-01, 4.1058e-02, 3.0246e-02, 1.2037e-02, 9.4208e-03, 3.0262e-03,
                        7.3645e-01, 1.6815e-01, 4.0236e-02, 1.2368e-02, 8.0993e-03, 3.6345e-03,
                        2.5250e-03, 9.1421e-04, 4.0131e-01, 1.1894e-01, 3.0216e-02, 8.2561e-03,
                        6.0496e-03, 2.4207e-03, 1.8844e-03, 6.0860e-04, 2.1716e-01, 4.9340e-02,
                        1.1792e-02, 3.6333e-03, 2.3738e-03, 1.0677e-03, 7.4007e-04, 2.6857e-04,
                        1.2525e-01, 3.7058e-02, 9.4101e-03, 2.5735e-03, 1.8841e-03, 7.5457e-04,
                        5.8688e-04, 1.8971e-04, 5.4665e-02, 1.2407e-02, 2.9642e-03, 9.1383e-04,
                        5.9676e-04, 2.6855e-04, 1.8605e-04, 6.7550e-05]
train_cr_mean_resized = [ 4.1188e+01,  1.6797e-04,  2.7995e-12,  7.7994e-06, -3.3236e-12,
                          2.1975e-06, -6.0776e-14,  5.4741e-07, -3.6737e-02, -4.6523e-07,
                          8.7983e-13, -9.5452e-08, -9.9983e-15, -3.0713e-08, -7.7667e-14,
                          -7.8773e-09,  5.6731e-12, -7.8012e-13, -4.9965e-13,  1.7194e-13,
                          8.1058e-14,  1.6822e-14,  3.0594e-14, -7.4015e-15, -3.6947e-03,
                          -1.2886e-07, -4.2806e-14, -2.2000e-08,  3.7052e-15, -6.7947e-09,
                          3.6548e-15, -1.7278e-09, -2.4953e-12, -3.6947e-13,  1.2378e-13,
                          2.2786e-14, -1.0334e-14,  7.6026e-15,  4.6742e-15,  1.2595e-15,
                          -1.0997e-03, -3.9602e-08, -9.6785e-15, -6.6775e-09,  2.2625e-15,
                          -2.0608e-09, -6.3776e-16, -5.2394e-10, -3.4074e-13, -9.8849e-14,
                          -3.5867e-15, -9.0905e-16,  1.7097e-16,  3.3969e-16, -2.9786e-15,
                          1.1039e-16, -2.7739e-04, -1.0059e-08, -3.6812e-15, -1.6915e-09,
                          -6.1128e-16, -5.2193e-10, -2.4363e-16, -1.3269e-10]
train_cr_std_resized = [1.2458e+02, 8.3488e+00, 1.7540e+00, 6.7532e-01, 3.5622e-01, 1.9922e-01,
                        1.1121e-01, 5.0154e-02, 8.6552e+00, 2.1705e+00, 5.3275e-01, 1.5601e-01,
                        1.0699e-01, 4.5806e-02, 3.3342e-02, 1.1520e-02, 1.8299e+00, 5.3795e-01,
                        1.3639e-01, 3.7416e-02, 2.7312e-02, 1.0971e-02, 8.5076e-03, 2.7584e-03,
                        6.9777e-01, 1.5458e-01, 3.6673e-02, 1.1453e-02, 7.3876e-03, 3.3665e-03,
                        2.3034e-03, 8.4685e-04, 3.7134e-01, 1.0792e-01, 2.7284e-02, 7.5293e-03,
                        5.4651e-03, 2.2080e-03, 1.7024e-03, 5.5515e-04, 2.0582e-01, 4.5369e-02,
                        1.0749e-02, 3.3655e-03, 2.1657e-03, 9.8927e-04, 6.7527e-04, 2.4885e-04,
                        1.1592e-01, 3.3628e-02, 8.4975e-03, 2.3472e-03, 1.7022e-03, 6.8835e-04,
                        5.3025e-04, 1.7307e-04, 5.1815e-02, 1.1409e-02, 2.7024e-03, 8.4652e-04,
                        5.4447e-04, 2.4884e-04, 1.6977e-04, 6.2595e-05]

train_dct_subset_mean = \
        [-8.8397e+01,  1.5597e-02, -9.5308e-07, -2.9050e-03,  3.7817e-07,
        -6.3421e-04,  4.7780e-07, -1.5047e-04,  9.7870e-02, -5.8071e-04,
         1.0536e-09, -5.0799e-04, -4.1102e-10, -1.2501e-04, -5.3645e-10,
        -3.0450e-05, -9.7664e-07,  1.9446e-10, -1.2153e-12, -6.4885e-12,
        -2.5839e-13, -4.4284e-12, -3.8578e-14, -1.5094e-12,  9.2466e-03,
        -5.1991e-04,  1.0887e-10,  1.1252e-04, -3.7925e-11,  2.5183e-05,
        -5.0621e-11,  6.0100e-06,  3.7955e-07, -6.0023e-11, -1.3663e-13,
         1.2900e-11,  1.8337e-14,  2.9307e-12,  2.6425e-15,  6.3719e-13,
         2.7374e-03, -1.2625e-04,  3.1679e-11,  2.5098e-05, -1.1317e-11,
         5.5785e-06, -1.4971e-11,  1.3292e-06,  4.7860e-07, -9.5060e-11,
        -7.9097e-14,  1.5390e-11,  3.0557e-15,  3.3022e-12, -1.9787e-15,
         7.6966e-13,  6.8983e-04, -3.0677e-05,  7.9215e-12,  5.9859e-06,
        -2.8475e-12,  1.3283e-06, -3.7711e-12,  3.1638e-07, -5.8491e+01,
        -1.6577e-01, -2.0692e-09, -8.4985e-03,  1.0420e-09, -2.4710e-03,
         2.7502e-09, -6.1997e-04,  3.1360e-02, -3.8765e-05, -3.4437e-12,
        -5.9718e-06, -1.3590e-12, -1.7951e-06,  5.6358e-13, -4.5385e-07,
         3.2491e-10, -1.3095e-12,  1.7513e-13, -2.8068e-13, -1.8551e-14,
        -1.5271e-13,  1.0291e-14, -2.4416e-14,  3.1619e-03, -1.2865e-06,
        -3.7151e-13, -3.9386e-07, -1.3085e-13, -1.1937e-07,  6.7769e-15,
        -3.0234e-08,  1.9448e-10,  4.9895e-13, -1.8359e-14,  2.1692e-14,
        -7.1615e-15, -2.0414e-14,  6.3726e-16, -3.7986e-15,  9.4109e-04,
        -3.6415e-07, -8.7605e-14, -1.1582e-07, -3.5868e-14, -3.5113e-08,
         7.2777e-16, -8.8941e-09,  2.4262e-10,  3.3936e-12,  6.0808e-16,
         2.5414e-13, -2.7694e-15,  7.0179e-14, -7.2117e-16,  1.8066e-14,
         2.3753e-04, -9.0383e-08, -1.5421e-14, -2.9115e-08, -8.9633e-15,
        -8.8277e-09,  3.5239e-16, -2.2361e-09,  3.1929e+01, -1.6165e-01,
        -2.0183e-09, -8.2897e-03,  1.0157e-09, -2.4104e-03,  2.6761e-09,
        -6.0500e-04, -2.9878e-02, -3.7404e-05, -3.5766e-12, -5.6134e-06,
        -1.2576e-12, -1.6875e-06,  5.9172e-13, -4.2647e-07, -3.4514e-10,
        -1.4856e-12,  1.5519e-13, -2.5587e-13, -2.5545e-14, -1.4414e-13,
         1.2030e-14, -2.3196e-14, -3.0092e-03, -1.3033e-06, -3.6047e-13,
        -3.7207e-07, -1.2470e-13, -1.1276e-07,  8.4246e-15, -2.8545e-08,
        -1.9326e-10,  6.9644e-13, -2.2395e-14,  2.6066e-14, -7.6530e-15,
        -1.9721e-14,  7.2386e-16, -3.4010e-15, -8.9570e-04, -3.6968e-07,
        -8.9726e-14, -1.0941e-07, -3.3686e-14, -3.3168e-08,  1.0637e-15,
        -8.3968e-09, -2.1493e-10,  3.1988e-12, -3.5964e-15,  2.3979e-13,
        -3.1701e-15,  6.5714e-14, -6.0178e-16,  1.6470e-14, -2.2602e-04,
        -9.1818e-08, -1.4449e-14, -2.7501e-08, -8.0230e-15, -8.3384e-09,
         3.8173e-16, -2.1110e-09]

train_dct_subset_std = \
        [2.5996e+02, 6.5815e-01, 2.8023e-06, 1.4003e-01, 1.1122e-06, 3.3666e-02,
        1.4051e-06, 8.1735e-03, 9.9723e-01, 1.4958e-01, 1.1809e-08, 3.9600e-02,
        4.4064e-09, 9.0039e-03, 5.4072e-09, 2.1572e-03, 2.7723e-06, 2.0134e-08,
        1.3311e-09, 5.6149e-09, 1.4980e-10, 1.2675e-09, 4.4693e-11, 3.0259e-10,
        1.8413e-01, 3.9098e-02, 2.2963e-09, 1.0803e-02, 8.2908e-10, 2.4595e-03,
        1.0059e-09, 5.8945e-04, 1.1096e-06, 3.4327e-09, 1.6644e-10, 8.0575e-10,
        1.9041e-11, 1.9331e-10, 5.7113e-12, 4.6243e-11, 4.4838e-02, 8.8778e-03,
        5.5233e-10, 2.4570e-03, 2.0090e-10, 5.5960e-04, 2.4463e-10, 1.3413e-04,
        1.4043e-06, 3.6421e-09, 4.9888e-11, 7.8625e-10, 5.7221e-12, 1.8852e-10,
        1.7036e-12, 4.5761e-11, 1.0916e-02, 2.1264e-03, 1.3408e-10, 5.8871e-04,
        4.8864e-11, 1.3409e-04, 5.9542e-11, 3.2141e-05, 8.1048e+01, 1.0856e-01,
        2.3757e-09, 1.0148e-02, 9.4512e-10, 3.0192e-03, 2.5468e-09, 7.6151e-04,
        1.6803e-01, 3.6114e-03, 1.6142e-10, 2.9867e-04, 4.3931e-11, 8.8478e-05,
        9.2399e-11, 2.2295e-05, 8.5202e-09, 4.1148e-10, 2.6266e-11, 3.3940e-11,
        5.2857e-12, 1.0078e-11, 1.6437e-12, 2.5435e-12, 1.6909e-02, 2.9438e-04,
        1.2447e-11, 2.4997e-05, 3.5767e-12, 7.4134e-06, 8.0941e-12, 1.8685e-06,
        2.1360e-09, 8.7833e-11, 5.2358e-12, 7.3362e-12, 1.0532e-12, 2.1679e-12,
        3.2886e-13, 5.5015e-13, 5.0349e-03, 8.7162e-05, 3.6771e-12, 7.4095e-06,
        1.0585e-12, 2.1975e-06, 2.4042e-12, 5.5388e-07, 3.0230e-09, 9.4274e-11,
        1.6296e-12, 8.3198e-12, 3.2744e-13, 2.4705e-12, 1.0218e-13, 6.2295e-13,
        1.2701e-03, 2.1961e-05, 9.2752e-13, 1.8673e-06, 2.6667e-13, 5.5382e-07,
        6.0613e-13, 1.3959e-07, 7.5708e+01, 1.0425e-01, 2.2661e-09, 9.6236e-03,
        9.0966e-10, 2.8630e-03, 2.4717e-09, 7.2211e-04, 1.4871e-01, 3.2942e-03,
        1.4588e-10, 2.7315e-04, 3.9584e-11, 8.0930e-05, 8.4659e-11, 2.0394e-05,
        7.8842e-09, 3.6690e-10, 2.3493e-11, 3.0440e-11, 4.7148e-12, 9.0152e-12,
        1.4695e-12, 2.2819e-12, 1.4980e-02, 2.6917e-04, 1.1351e-11, 2.2915e-05,
        3.2376e-12, 6.7968e-06, 7.4512e-12, 1.7132e-06, 1.9819e-09, 7.8572e-11,
        4.6764e-12, 6.5779e-12, 9.3856e-13, 1.9534e-12, 2.9241e-13, 4.9339e-13,
        4.4610e-03, 7.9705e-05, 3.3517e-12, 6.7930e-06, 9.5965e-13, 2.0149e-06,
        2.2141e-12, 5.0788e-07, 2.8291e-09, 8.5700e-11, 1.4547e-12, 7.6022e-12,
        2.9289e-13, 2.2588e-12, 9.1006e-14, 5.6958e-13, 1.1254e-03, 2.0083e-05,
        8.4391e-13, 1.7120e-06, 2.4145e-13, 5.0781e-07, 5.5826e-13, 1.2800e-07]

train_upscaled_static_mean = [-8.8397e+01,  1.4242e-02,  3.4117e-03,  7.0792e-03,  2.4295e-02,
         4.8884e-03,  1.1029e-02,  1.4621e-02,  4.4380e-01, -1.4657e-02,
        -5.4878e-03, -7.4716e-03, -1.7573e-03, -1.9678e-03, -1.0014e-03,
        -6.7293e-04, -3.2971e-02, -6.9187e-03, -4.5815e-03, -3.2968e-03,
         2.9935e-04, -1.0084e-03,  9.2506e-05, -9.1809e-04,  2.7731e-02,
        -6.8864e-03, -4.3638e-03, -3.4875e-03, -7.4995e-04, -1.2685e-04,
        -9.9695e-05,  4.2945e-04,  2.1127e-02,  1.3356e-02,  1.2893e-02,
         1.3848e-02,  8.0353e-04,  1.3728e-02,  1.3314e-02,  1.3362e-02,
         5.6187e-03, -3.8503e-03, -1.6255e-03, -8.9914e-04, -6.0506e-04,
        -9.6180e-05,  2.8288e-04,  5.1148e-04, -6.0038e-03, -1.0580e-03,
        -5.0092e-04,  4.1829e-05, -1.0169e-04, -3.4269e-04,  1.6878e-04,
        -2.4374e-04, -6.3966e-04, -1.7590e-04, -5.0322e-04, -1.0794e-04,
         1.0911e-04,  1.2639e-03,  4.8865e-04,  2.3114e-03, -5.8709e+01,
        -1.4975e-01,  1.5083e-02, -1.5743e-01,  1.3664e-02, -2.1918e-01,
         1.7582e-02, -6.2055e-01,  1.3488e-01, -4.2079e-03, -1.0616e-03,
         8.0632e-05,  1.8554e-05,  4.6599e-04, -1.6110e-05,  3.7761e-04,
        -3.2042e-03, -2.1745e-03,  1.7846e-04, -2.5755e-03, -6.3193e-05,
        -6.1709e-03,  2.2338e-05, -2.7234e-02,  1.4375e-02, -1.5920e-04,
         1.0560e-04,  2.0734e-05,  8.9964e-06,  6.6089e-05, -2.2969e-05,
         8.5885e-05,  1.4262e-02,  1.3967e-02,  1.2928e-02,  1.1558e-02,
         5.9293e-03,  8.0587e-03,  1.2185e-02, -3.9466e-03,  3.9497e-03,
         3.2286e-04,  4.7901e-05,  1.1759e-05, -5.8365e-06,  3.3193e-06,
         2.2425e-05,  4.2256e-05,  5.2415e-04,  4.1421e-04, -9.4003e-05,
        -8.9865e-04,  5.5458e-05, -2.3636e-03,  7.7944e-05, -7.6696e-03,
         1.7445e-04,  8.6328e-05,  4.4323e-05,  1.4780e-05,  2.5238e-05,
        -9.2798e-06, -4.1784e-06, -1.3018e-05,  3.2116e+01, -1.4412e-01,
         1.2337e-02, -1.5120e-01,  8.5720e-03, -2.1042e-01,  1.5230e-02,
        -5.9077e-01, -1.3207e-01, -4.0276e-03, -9.3269e-04,  1.0862e-04,
         4.1762e-05,  4.6122e-04,  2.8299e-05,  3.2597e-04, -3.9396e-03,
        -2.2667e-03,  6.7284e-05, -2.6205e-03,  1.6429e-04, -6.6546e-03,
         2.5047e-04, -2.8640e-02, -1.1487e-02, -2.0323e-04,  2.9561e-05,
         3.4320e-05, -2.2354e-05,  5.4670e-05,  9.8016e-07,  9.6956e-05,
         9.3471e-03,  1.3498e-02,  1.2898e-02,  1.0983e-02,  5.5875e-03,
         7.5598e-03,  1.1768e-02, -5.1549e-03, -2.8011e-03,  2.3734e-04,
         3.9085e-05,  3.7114e-05,  3.3999e-05, -7.5000e-06, -1.0987e-05,
         7.5305e-05, -1.3658e-03,  3.0618e-04,  9.6108e-05, -9.3444e-04,
         4.5678e-05, -2.4390e-03,  1.2077e-04, -8.3779e-03, -3.4181e-04,
         1.3019e-04,  3.5683e-06,  5.3878e-06, -4.0862e-07, -9.4194e-06,
        -9.6086e-07,  2.7884e-05]

train_upscaled_static_std = [2.5996e+02, 2.7776e+00, 2.0454e+00, 1.3947e+00, 1.1929e+00, 8.6391e-01,
        6.8394e-01, 5.7572e-01, 3.9907e+00, 5.6620e-01, 5.9385e-01, 4.3958e-01,
        3.8698e-01, 3.0748e-01, 2.6694e-01, 2.2055e-01, 2.4791e+00, 5.9187e-01,
        6.4341e-01, 4.6003e-01, 4.0897e-01, 3.1736e-01, 2.7511e-01, 2.1240e-01,
        1.6547e+00, 4.4618e-01, 4.6693e-01, 3.6985e-01, 3.3952e-01, 2.6992e-01,
        2.3661e-01, 2.0211e-01, 1.3388e+00, 3.9514e-01, 4.2135e-01, 3.4065e-01,
        3.2892e-01, 2.5796e-01, 2.2765e-01, 1.8097e-01, 1.0203e+00, 3.1577e-01,
        3.2870e-01, 2.7429e-01, 2.6293e-01, 2.2137e-01, 1.9189e-01, 1.8148e-01,
        8.4185e-01, 2.7672e-01, 2.8746e-01, 2.4236e-01, 2.3329e-01, 1.9236e-01,
        1.7785e-01, 1.4372e-01, 7.3554e-01, 2.2719e-01, 2.2219e-01, 2.0297e-01,
        1.8347e-01, 1.8323e-01, 1.4515e-01, 2.2195e-01, 8.1161e+01, 4.9091e-01,
        3.1735e-01, 2.0449e-01, 1.1882e-01, 1.2908e-01, 5.0844e-02, 2.6862e-01,
        7.8728e-01, 1.0321e-01, 9.6477e-02, 6.2715e-02, 4.6128e-02, 3.3353e-02,
        2.3952e-02, 1.8714e-02, 3.8195e-01, 9.7172e-02, 1.0334e-01, 6.3937e-02,
        4.9453e-02, 3.5066e-02, 2.5177e-02, 3.2152e-02, 2.3052e-01, 6.3559e-02,
        6.5152e-02, 4.3934e-02, 3.5844e-02, 2.5748e-02, 1.9563e-02, 1.5570e-02,
        1.3944e-01, 4.9192e-02, 5.2346e-02, 3.7090e-02, 3.3560e-02, 2.3967e-02,
        1.8798e-02, 2.1980e-02, 9.8602e-02, 3.5452e-02, 3.6885e-02, 2.6706e-02,
        2.3650e-02, 1.7736e-02, 1.4376e-02, 1.2149e-02, 6.4540e-02, 2.6415e-02,
        2.7738e-02, 2.1018e-02, 1.9090e-02, 1.5044e-02, 1.2555e-02, 1.4048e-02,
        5.1324e-02, 1.9759e-02, 2.0474e-02, 1.6161e-02, 1.4880e-02, 1.2156e-02,
        1.0401e-02, 1.0198e-02, 7.5848e+01, 4.6409e-01, 2.9777e-01, 1.9486e-01,
        1.0790e-01, 1.2831e-01, 4.5828e-02, 2.7543e-01, 7.0298e-01, 9.4832e-02,
        8.7310e-02, 5.6864e-02, 4.0744e-02, 2.9727e-02, 2.1350e-02, 1.6915e-02,
        3.5970e-01, 8.7856e-02, 9.2837e-02, 5.6967e-02, 4.3606e-02, 3.1381e-02,
        2.2382e-02, 3.1701e-02, 2.1259e-01, 5.7565e-02, 5.8307e-02, 3.9093e-02,
        3.1663e-02, 2.2917e-02, 1.7423e-02, 1.4101e-02, 1.2614e-01, 4.3897e-02,
        4.6633e-02, 3.3022e-02, 2.9742e-02, 2.1378e-02, 1.6930e-02, 2.0954e-02,
        9.0127e-02, 3.1778e-02, 3.2939e-02, 2.3828e-02, 2.1016e-02, 1.5920e-02,
        1.2976e-02, 1.1180e-02, 5.8509e-02, 2.3753e-02, 2.4662e-02, 1.8851e-02,
        1.7072e-02, 1.3647e-02, 1.1419e-02, 1.3227e-02, 4.7294e-02, 1.7943e-02,
        1.8471e-02, 1.4692e-02, 1.3447e-02, 1.1150e-02, 9.6059e-03, 9.6861e-03]

train_upscaled_static_dct_direct_mean = \
    [-8.8441e+01, -6.8123e-03,  2.6311e-02,  1.1328e-02,  3.0055e-03,
         2.3689e-04,  1.6966e-03,  1.1626e-03,  2.0979e-01, -8.9474e-03,
        -2.3095e-03, -1.9179e-03, -2.2854e-04, -3.8119e-04,  1.8222e-05,
        -8.4587e-05,  1.8679e-02,  8.5745e-03, -4.2400e-04,  1.0750e-02,
         1.9276e-04, -9.6878e-04,  1.4310e-04, -2.6891e-04,  1.9373e-02,
        -2.2981e-03, -8.7367e-04,  6.7672e-04, -1.1983e-04, -1.6920e-04,
         3.3740e-05,  1.6262e-04,  2.9884e-03,  1.0956e-03,  1.1912e-03,
         1.2055e-03,  4.7636e-04,  1.0522e-03,  1.1087e-03,  9.1589e-04,
         5.0721e-03, -9.7663e-04, -3.6810e-04, -5.7553e-04, -8.2341e-05,
         4.4955e-05,  3.6096e-05,  1.1481e-04,  9.7434e-04, -2.9117e-04,
        -6.1975e-05,  1.2531e-05,  1.0779e-05,  3.2770e-05,  1.0103e-04,
        -6.3242e-05, -1.7977e-04, -1.0746e-04, -5.7808e-05,  4.8723e-05,
        -3.0275e-06,  4.1771e-04,  2.1652e-04,  5.0790e-04, -5.8695e+01,
        -1.7234e-02,  1.3988e-03, -3.5795e-03, -6.0512e-07,  8.6735e-04,
         1.0859e-06,  1.6146e-04,  7.0112e-02, -2.0742e-03, -2.8713e-04,
         2.1773e-05, -3.1957e-07,  1.1846e-04, -1.6541e-07,  2.4029e-05,
         1.1047e-03, -2.0109e-04,  2.9893e-06,  3.7891e-05, -4.2800e-07,
         3.2675e-05,  3.9253e-07,  6.5230e-06,  5.5331e-03, -1.1390e-05,
        -1.2061e-05, -8.3916e-06,  1.1070e-07,  2.9342e-06, -5.5761e-08,
         4.3908e-07,  7.5343e-07,  8.2977e-07, -1.4881e-07,  7.8314e-08,
        -1.8242e-07,  1.4178e-07, -2.0026e-08, -4.1504e-08,  1.6440e-03,
         1.3958e-04,  2.2978e-05, -2.4973e-06, -1.9855e-07, -1.0423e-05,
         2.8685e-07, -2.1593e-06,  1.6222e-07,  1.0419e-07, -1.2618e-07,
         1.4431e-07,  1.8411e-08, -1.2592e-07,  7.8027e-08, -7.9402e-08,
         4.1421e-04,  2.8680e-05,  4.8062e-06, -5.9929e-07, -7.3331e-09,
        -2.1204e-06, -1.4654e-08, -4.4568e-07,  3.2269e+01, -1.6962e-02,
         5.5166e-05, -3.4355e-03,  1.1447e-07,  6.9747e-04,  8.5918e-07,
         1.2430e-04, -6.7841e-02, -1.9863e-03, -2.5302e-04,  5.0397e-05,
         1.6117e-08,  1.1323e-04, -2.5180e-07,  2.3039e-05, -9.6495e-04,
        -2.9212e-04, -1.1594e-05,  5.8245e-05,  4.4166e-07,  3.2613e-05,
         4.9430e-07,  7.0234e-06, -4.7172e-03,  1.5249e-05,  2.2430e-05,
        -1.4190e-05,  1.0949e-07,  3.4668e-06, -1.3835e-07,  5.7345e-07,
         3.3501e-07,  1.2158e-06, -6.4451e-08,  5.6047e-08, -6.4525e-08,
         1.2327e-08,  1.4819e-07,  1.0658e-07, -1.4123e-03,  1.2944e-04,
         1.9357e-05, -4.2802e-06, -2.2853e-07, -9.6814e-06,  1.2421e-07,
        -1.9939e-06,  6.7195e-08,  2.5580e-07,  7.4477e-08,  1.6461e-07,
         7.2857e-08, -1.8009e-07,  1.0688e-08, -4.8726e-08, -3.6004e-04,
         2.6680e-05,  3.8912e-06, -7.4548e-07,  7.0676e-08, -1.9673e-06,
         1.4386e-08, -4.9395e-07]

train_upscaled_static_dct_direct_std = \
    [2.5721e+02, 1.3600e+00, 1.0046e+00, 5.7307e-01, 2.2258e-01, 1.9767e-01,
        1.2436e-01, 1.1407e-01, 1.9655e+00, 2.8765e-01, 2.7883e-01, 1.9182e-01,
        7.1532e-02, 6.7079e-02, 4.6069e-02, 3.9968e-02, 1.1419e+00, 2.7750e-01,
        2.9988e-01, 1.8724e-01, 7.4481e-02, 6.5460e-02, 4.6657e-02, 3.6889e-02,
        7.1643e-01, 1.9465e-01, 1.8992e-01, 1.6965e-01, 6.1027e-02, 5.7611e-02,
        3.9449e-02, 3.5702e-02, 2.4833e-01, 7.2265e-02, 7.5412e-02, 6.0571e-02,
        5.8466e-02, 4.3529e-02, 3.7327e-02, 2.9811e-02, 2.3583e-01, 6.9963e-02,
        6.7307e-02, 5.8543e-02, 4.4405e-02, 3.7840e-02, 3.0801e-02, 2.9190e-02,
        1.4774e-01, 4.7134e-02, 4.7498e-02, 4.0033e-02, 3.7405e-02, 3.0889e-02,
        2.8102e-02, 2.2728e-02, 1.3978e-01, 3.8528e-02, 3.6802e-02, 3.4260e-02,
        2.9470e-02, 2.9509e-02, 2.2998e-02, 3.4536e-02, 8.0963e+01, 2.5212e-01,
        6.3158e-02, 8.1193e-02, 1.3191e-05, 1.6065e-02, 1.0017e-05, 3.5324e-03,
        3.7762e-01, 4.9966e-02, 2.1173e-02, 1.7825e-02, 9.0042e-06, 4.1193e-03,
        2.7383e-06, 8.9164e-04, 7.7598e-02, 2.2707e-02, 2.0203e-02, 1.2649e-02,
        1.0037e-05, 2.6069e-03, 5.6851e-06, 5.3056e-04, 7.4300e-02, 1.8295e-02,
        1.2906e-02, 9.5546e-03, 3.5068e-06, 2.0009e-03, 2.3655e-06, 4.1502e-04,
        1.5083e-05, 1.1222e-05, 6.9156e-06, 4.3990e-06, 7.8862e-06, 4.6979e-06,
        3.8464e-06, 2.1111e-06, 1.6562e-02, 4.3293e-03, 2.6534e-03, 2.0252e-03,
        3.1138e-06, 4.4679e-04, 3.6740e-06, 9.3558e-05, 6.1075e-06, 4.7402e-06,
        3.7431e-06, 2.7421e-06, 2.7005e-06, 2.9087e-06, 1.5730e-06, 1.4617e-06,
        3.8767e-03, 9.2761e-04, 5.3645e-04, 4.1711e-04, 1.0584e-06, 9.3596e-05,
        1.6348e-06, 1.9860e-05, 7.5594e+01, 2.3626e-01, 5.7847e-02, 7.5771e-02,
        1.7113e-05, 1.5006e-02, 1.3517e-05, 3.3124e-03, 3.3586e-01, 4.5646e-02,
        1.9155e-02, 1.6168e-02, 8.9254e-06, 3.7419e-03, 4.9999e-06, 8.1081e-04,
        7.1665e-02, 2.0574e-02, 1.8308e-02, 1.1235e-02, 1.0550e-05, 2.3487e-03,
        8.2636e-06, 4.7753e-04, 6.7843e-02, 1.6736e-02, 1.1567e-02, 8.7162e-03,
        3.5624e-06, 1.8308e-03, 2.9372e-06, 3.8022e-04, 1.5039e-05, 1.5474e-05,
        9.4241e-06, 4.1908e-06, 5.4727e-06, 4.1045e-06, 3.0283e-06, 1.3279e-06,
        1.5121e-02, 3.9573e-03, 2.3948e-03, 1.8475e-03, 4.8589e-06, 4.0559e-04,
        2.1532e-06, 8.4403e-05, 6.1906e-06, 4.5033e-06, 4.4315e-06, 3.7438e-06,
        3.0788e-06, 2.4395e-06, 1.7380e-06, 1.8246e-06, 3.5344e-03, 8.4659e-04,
        4.8491e-04, 3.8055e-04, 2.6078e-06, 8.3884e-05, 9.0032e-07, 1.8897e-05]